Objectives To develop a machine learning (ML)-based predictive model to determine the key predictors of dissatisfaction after occupational injury (OI). Design A retrospective cohort study. Setting ...
Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.
A comprehensive machine learning system for predicting river discharge at long term (monthly to seasonal) timescales using ensemble methods and advanced feature engineering. The diagram above ...
Model achieved area under the curve values of 0.7577, 0.7595, and 0.7557 for one-, three-, and five-year survival predictions ...
A comprehensive machine learning solution for predicting house prices using advanced regression techniques, feature engineering, and ensemble modeling. This project was developed for the Kaggle ...
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